作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2007, Vol. 33 ›› Issue (03): 144-146. doi: 10.3969/j.issn.1000-3428.2007.03.052

• 安全技术 • 上一篇    下一篇

一种基于免疫的Web发现方法

孙飞显,刘晓洁,李 涛,杨 进,倪建成,龚 勋   

  1. (四川大学计算机学院,成都 610065)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-02-05 发布日期:2007-02-05

Method of Web Discovery Based on Immunity

SUN Feixian, LIU Xiaojie, LI Tao, YANG Jin, NI Jiancheng, GONG Xun   

  1. (School of Computer, Sichuan University, Chengdu 610065)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-02-05 Published:2007-02-05

摘要: 利用免疫原理,提出了一种新的Web发现方法。给出了用于知识发现的有关自体与非自体、抗体与抗原的数学描述,建立了Web发现模型IWD,并描述了该模型的实现过程,解决了传统方法无自学习能力等缺陷。对模型进行了仿真,对比实验表明IWD较传统的基于神经网络方法具有更高的准确度和更好的时间效率。

关键词: 人工免疫系统, Web发现, 搜索引擎

Abstract: In order to improve the precision of Web discovery, a method named IWD(immunity-based Web discovery) for Web discovery is proposed. Mathematical formulas of self, non-self, antibody and antigen for Web discovery are established, and implementation of the method is described. The compared experimental results show that IWD has the ability of self-learning, higher precision and better time efficiency than the technique based on neural network does.

Key words: Artificial immune system, Web discovery, Search engine